PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (601 utterances, 2,461 words searched).

  1. has he gone away ? MOT · eng_british_Manchester_II/ruth19b.cha, line 193 · Ruth 2;05
  2. has Daddy gone away to play ? MOT · eng_british_Manchester_II/ruth19b.cha, line 205 · Ruth 2;05
  3. has he ? MOT · eng_british_Manchester_II/ruth19b.cha, line 209 · Ruth 2;05
  4. has he seen the zoo ? MOT · eng_british_Manchester_II/ruth19b.cha, line 868 · Ruth 2;05
  5. has the tiger escaped from the zoo ? MOT · eng_british_Manchester_II/ruth19b.cha, line 998 · Ruth 2;05
  6. has she gone to sleep immediately . MOT · eng_british_Manchester_II/ruth19b.cha, line 1849 · Ruth 2;05
  7. has she had a good sleep ? MOT · eng_british_Manchester_II/ruth19b.cha, line 1882 · Ruth 2;05
  8. has she slept all night ? MOT · eng_british_Manchester_II/ruth19b.cha, line 1886 · Ruth 2;05
  1. MOTwhere ?
    CHIaway .
    MOT*MOT: has he gone away ?
    CHImmhm .
    MOTwhere's Daddy gone away to ?
  2. MOTyou don't know ?
    CHIno .
    MOT*MOT: has Daddy gone away to play ?
    CHImmhm .
    MOThas he ?
  3. MOThas Daddy gone away to play ?
    CHImmhm .
    MOT*MOT: has he ?
    CHIno .
    MOTwhat's Daddy gone away to do ?
  4. MOThere .
    CHInow back in that car .
    MOT*MOT: has he seen the zoo ?
    MOTis he going back home again on the train now ?
    CHImmhm .
  5. MOThe's a naughty tiger .
    MOToh: .
    MOT*MOT: has the tiger escaped from the zoo ?
    CHImmhm .
    MOThere's the tiger coming .
  6. MOThave a nice sleep , baby .
    MOTshe's got her eyes closed already .
    MOT*MOT: has she gone to sleep immediately .
    CHImmhm .
    MOTthat didn't take very long , did it ?
  7. CHImorning baba .
    MOTmorning baba .
    MOT*MOT: has she had a good sleep ?
    CHIxxx .
    MOThas she slept all night ?
  8. MOThas she had a good sleep ?
    CHIxxx .
    MOT*MOT: has she slept all night ?
    CHIbaba sleep .
    MOToh she's gone to sleep .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Ruth eng_british_Manchester_II3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth19b.chaRuth 2;5.202,461883.25

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. has8 · 100.0%